Social credit does not itself bring new restrictions; it focuses on increasing implementation of existing restrictions. In 2019, approximately 17,400 individuals had been blacklisted. , approximately 200,000 additional individuals were blacklisted in 2025, 46 percent due to contractual disputes.
Judgment defaulter blacklist Before 2013, the process of obtaining court-ordered enforcement against judgment debtors was fragmented. but mainly targets trust-breaking legal persons. Certain personal information of the blacklisted people is
deliberately made accessible to the public and is displayed online as well as at various public venues such as movie theaters and buses. In 2019, a Hebei court released an app showing a "map of deadbeat debtors" within 500 meters and encouraged users to report individuals who they believed could repay their debts. The Supreme People's Court's blacklist is one of its most important enforcement tools and its use has resulted in the recovery of tens of trillions of RMB for fines and delinquent repayments as of 2023. Restrictions associated with the social credit system are "almost entirely restricted to the court judgment defaulter list", according to Jeremy Daum of
Yale University, who adds that the judgment defaulter blacklist is "so distinct from other social credit blacklists, however, that it is probably best to understand the defaulter list solely as a court enforcement mechanism rather than thinking of it as ‘social credit’ at all".
Sectoral blacklists Many sectoral blacklists exist and are managed by a variety of regulatory and administrative bodies. In July 2019, additional 2.56 million flight tickets as well as 90 thousand high-speed train tickets were denied to those on the blacklist.
Procedures for removal from blacklists After a blacklist decision becomes effective, the blacklisted party can file for credit repair. Several local regulatory agencies have implemented central-level plans to build a credibility-based regulation mechanism ("以信用为基础的新型监管机制"). The SCS Building Law draft defines credibility-based regulation as “departments that have regulatory duties in accordance with the law, rationally and reasonably assessing the credibility status of regulatory subjects based on their credibility records and credibility appraisals and carrying out hierarchical and categorized regulation on this basis”. Art. 7, A key implementation link for this, beyond local policy documents, are technical standards. They include the following actors.
For companies The social credit system is meant to provide an answer to the problem of lack of trust on the Chinese market. , the corporate regulation function of the system appears to be more advanced than other parts of the system and the "Corporate Social Credit System" has been the primary focus of government attention. For businesses, the social credit system is meant to serve as a
market regulation mechanism. The goal is to establish a self-enforcing regulatory regime fueled by
big data in which businesses exercise "self-restraint" (企业自我约束). The basic idea is that with a functional credit system in place, companies will comply with government policies and regulations to avoid having their scores lowered by disgruntled employees, customers or clients.
For individuals As of 2020, individuals receive 10.3% of all enforcement actions, affecting around 0.15% to 0.3% of the national population annually. violating traffic rules such as jaywalking and red-light violations, making reservations at restaurants or hotels, but not showing up, failing to correctly sort personal waste, fraudulently using other people's public transportation
ID cards, etc.; on the other hand, including behavior listed as positive factors of credit ratings such as
donating blood, donating to
charity, volunteering for
community services, praising government efforts on social media and so on. However, due to the system mainly relying on digitized administrative documents, early efforts to integrate behavioral data into the system were mainly discarded. In an October 2022 study, professors from
Princeton University,
Freie Universität Berlin and
Pennsylvania State University also found that "repressing protesters, petitioners, journalists, and political activists via the SCS is common among Chinese localities." These programs vary greatly from city to city, and participation is voluntary. Local credit profiles are hardly shared between cities. Since the early 2010s, several cities in China launched pilot programs to test and develop a potential social credit system. Some of these programs assigned scores to individuals, but many of the scoring programs faced criticism. The main criticism of these pilot programs came from Chinese state media, which denounced these practices as having unfairly restricted legal rights or tracked personal behaviors that were completely unrelated to the concept of "credit." In 2019, the Chinese government reinforced this criticism by issuing clear guidelines to prevent misuse, explicitly stating that "scores" can not be used to punish citizens. == Public opinion ==